Liu Yongxiang, Luo Jinhai, Xu Baojun
Guangdong Provincial Key Laboratory IRADS and Department of Life Sciences, BNU-HKBU United International College, Zhuhai 519087, China.
School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China.
Life (Basel). 2024 May 22;14(6):656. doi: 10.3390/life14060656.
The global prevalence of obesity is a pressing health issue, increasing the medical burden and posing significant health risks to humans. The side effects and complications associated with conventional medication and surgery have spurred the search for anti-obesity drugs from plant resources. Previous studies have suggested that Folium (Aiye) water extracts could inhibit pancreatic lipase activities, control body weight increase, and improve the plasma lipids profile. However, the exact components and mechanisms were not precisely understood. Therefore, this research aims to identify the chemical profile of Aiye and provide a comprehensive prediction of its anti-obesity mechanisms. The water extract of Aiye was subjected to LC-MS analysis, which identified 30 phenolics. The anti-obesity mechanisms of these phenolics were then predicted, employing network pharmacology and molecular docking. Among the 30 phenolics, 21 passed the drug-likeness screening and exhibited 486 anti-obesity targets. The enrichment analysis revealed that these phenolics may combat obesity through PI3K-Akt signaling and MAPK, prolactin, and cAMP signaling pathways. Eight phenolics and seven central targets were selected for molecular docking, and 45 out of 56 docking had a binding affinity of less than -5 kcal/mol. This research has indicated the potential therapy targets and signaling pathways of Aiye in combating obesity.
全球肥胖症患病率是一个紧迫的健康问题,增加了医疗负担并给人类带来重大健康风险。传统药物和手术相关的副作用及并发症促使人们从植物资源中寻找抗肥胖药物。先前的研究表明,艾叶水提取物可抑制胰脂肪酶活性、控制体重增加并改善血脂状况。然而,其确切成分和作用机制尚不完全清楚。因此,本研究旨在确定艾叶的化学特征,并对其抗肥胖机制进行全面预测。对艾叶水提取物进行了液相色谱-质谱联用(LC-MS)分析,鉴定出30种酚类物质。然后采用网络药理学和分子对接技术对这些酚类物质的抗肥胖机制进行预测。在这30种酚类物质中,有21种通过了类药筛选,显示出486个抗肥胖靶点。富集分析表明,这些酚类物质可能通过PI3K-Akt信号通路以及MAPK、催乳素和cAMP信号通路来对抗肥胖。选择了8种酚类物质和7个核心靶点进行分子对接,56个对接中有45个的结合亲和力小于-5千卡/摩尔。本研究揭示了艾叶在对抗肥胖方面的潜在治疗靶点和信号通路。